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<h1>montage2
</h1>

<h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>[3D] Used to display a stack of T images.</strong></div>

<h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="box"><strong>function varargout = montage2( IS, showlines, extrainfo, clim, mm, nn, labels ) </strong></div>

<h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
<div class="fragment"><pre class="comment"> [3D] Used to display a stack of T images. 

 Improved version of montage, with more control over display.  

 NOTE: Can convert between MxNxT and MxNx3xT image stack via:
   I = repmat( I, [1,1,1,3] ); I = permute(I, [1,2,4,3] );

 INPUTS
   IS          - MxNxT or MxNx1xT or MxNx3xT array (of bw or color images)
   showlines   - [optional] whether to show lines separating the various frames
   extrainfo   - [optional] if 1 then a colorbar is shown as well as pixval bar
   clim        - [optional] clim = [clow chigh] optional scaling of data
   mm          - [optional] #images/row (if [] then calculated)
   nn          - [optional] #images/col (if [] then calculated)
   labels      - [optional] cell array of strings specifying labels for each image

 OUTPUTS
   h           - image handle
   mm          - #images/row 
   nn          - #images/col

 EXAMPLE
   load( 'images.mat' );
   montage2( images );

 DATESTAMP
   29-Sep-2005  2:00pm

 See also MONTAGE, <a href="makemovie.html" class="code" title="function M = makemovie( IS )">MAKEMOVIE</a></pre></div>

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<h2><a name="_cross"></a>CROSS-REFERENCE INFORMATION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
This function calls:
<ul style="list-style-image:url(../matlabicon.gif)">
</ul>
This function is called by:
<ul style="list-style-image:url(../matlabicon.gif)">
<li><a href="../classify/democlassify.html" class="code" title="function democlassify">democlassify</a>	A demo used to test and demonstrate the usage of classifiers (clf_*)</li><li><a href="../classify/pca_randomvector.html" class="code" title="function Xr = pca_randomvector( U, mu, variances, k, n, hypershpere, show )">pca_randomvector</a>	Generate random vectors in PCA subspace.</li><li><a href="../classify/pca_visualize.html" class="code" title="function varargout = pca_visualize( U, mu, variances, X, index, ks, filename, show )">pca_visualize</a>	Visualization of quality of approximation of X given principal components.</li><li><a href="../filters/FB_apply_2D.html" class="code" title="function IF = FB_apply_2D( I, FB, shape, show )">FB_apply_2D</a>	Applies each of the filters in the filterbank FB to the image I.</li><li><a href="../filters/FB_reconstruct_2D.html" class="code" title="function I2 = FB_reconstruct_2D( I, FB )">FB_reconstruct_2D</a>	Use to see how much image information is preserved in filter outputs.</li><li><a href="../filters/FB_visualize_2D.html" class="code" title="function FB_visualize_2D( FB )">FB_visualize_2D</a>	Used to visualize the Fourier spectra of a series of 2D filters.</li><li><a href="../filters/filter_DOOG_3D.html" class="code" title="function dG = filter_DOOG_3D( r, sigmas, nderivs, show )">filter_DOOG_3D</a>	3D difference of offset Gaussian (DooG) filters.</li><li><a href="../filters/filter_gauss_nD.html" class="code" title="function G = filter_gauss_nD( dims, mu, C, show )">filter_gauss_nD</a>	n-dimensional Gaussian filter.</li><li><a href="imageMLG.html" class="code" title="function varargout = imageMLG( G, symmFlag, show )">imageMLG</a>	Calculates maximum likelihood parameters of gaussian that gave rise to image G.</li><li><a href="makemovies.html" class="code" title="function M = makemovies( IS, montage2params )">makemovies</a>	[4D] Used to convert R sets of equal length videos into a single movie.</li><li><a href="mask_gaussians.html" class="code" title="function [masks,keeplocs] = mask_gaussians( siz, M, windowwidth, offset, show )">mask_gaussians</a>	Divides a volume into softly overlapping gaussian windows.</li><li><a href="montages.html" class="code" title="function varargout = montages( IS, montage2params, labels, montage2labels )">montages</a>	[4D] Used to display R sets of T images each.</li><li><a href="montages2.html" class="code" title="function varargout = montages2( IS, montage2params, padsize )">montages2</a>	MONTAGES2 [4D] Used to display R sets of T images each.</li><li><a href="playmovies.html" class="code" title="function playmovies( I, fps, loop )">playmovies</a>	[4D] shows R videos simultaneously as a movie.</li></ul>
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